Goodchild's article examines what user-generated geo information (volunteered geographic information/ VGI) are different from traditional & professional geo information. The main assumption Goodchild has proposed is that the individual is similar to an expert in the geography of his or her activity space, based on the concept of individual geographic familiarity. The geo production contributed by general people (neo-explorers who mainly take the inductive role ) are in the levels of raw data observations and information for specific use, while the level of geo knowledge are produced by professionals (taking both inductive and deductive roles of empiricism) through theories, models, and formal procedures conducting analytic capabilities and functions.
As the traditional data quality can be controlled by the authority of mapping agencies through formal spefifications, production mechanisms, and programs or project control, Goodchild suggests two mechanisms for VIG quality control. First, he notes the value of local expertise in the sense of community mapping while national mapping agencies ignore them in the mapping and editing process. Second, he offers a structure of data editing process by building several hierarchy of editor levels based on the use of local expertise to exam the data quality. As a better framework through semiotic analysis can provide a systematic structure of this issue, we close our review with a table utilizing semiotics to fully understand the potentials and implications of this article.
As the traditional data quality can be controlled by the authority of mapping agencies through formal spefifications, production mechanisms, and programs or project control, Goodchild suggests two mechanisms for VIG quality control. First, he notes the value of local expertise in the sense of community mapping while national mapping agencies ignore them in the mapping and editing process. Second, he offers a structure of data editing process by building several hierarchy of editor levels based on the use of local expertise to exam the data quality. As a better framework through semiotic analysis can provide a systematic structure of this issue, we close our review with a table utilizing semiotics to fully understand the potentials and implications of this article.
